# Airbrake AI visibility in Error Tracking & Crash Reporting

Canonical: https://devtune.ai/verticals/error-tracking-crash-reporting/airbrake

[Website](https://airbrake.io/)

Updated: 2026-10-15T14:04:43.991732+00:00
Prompts: 25
Runs: 6


## Platforms

- chatgpt-search
- google-ai
- perplexity
- google-ai-mode
- bing-copilot-search
- xai-search

Rank: 8
Total brands: 11
Measured responses: 150
Presence percent: 2.666666666666667
Share of voice percent: 1.0324483775811208
Average position: 20.714285714285715
Docs presence percent: 2
Blog presence percent: 0
Brand mention percent: 8


## Profile

Overview: Airbrake is a cloud-based error monitoring and performance tracking platform originally created in 2007 (as Hoptoad) by Rails consultancy Thoughtbot, publicly released in 2008, and acquired by LogicMonitor in February 2021. The tool captures, aggregates, and intelligently groups application exceptions across the full technology stack in real time, pointing developers to the exact file and line of code responsible. Alongside error monitoring, Airbrake provides lightweight APM and deployment tracking to correlate bugs with specific code releases. Its agentless, open-source SDK architecture supports over 20 programming languages and frameworks—including Ruby, Python, JavaScript, Java, Go, and PHP—and installs in minutes. Trusted by 1,600+ organizations including Adobe, Ring, SoundCloud, and MyFitnessPal, the platform is SOC 2 Type II certified and offers usage-based pricing starting at $19/month.
Product summary: Cloud-based, agentless error monitoring and performance tracking platform that captures, groups, and alerts on application exceptions in real time—with deployment correlation, breadcrumb-based root cause analysis, and open-source SDK support for 20+ languages.


### Key capabilities

- Real-time error monitoring with automatic alerting via email and Slack
- Intelligent error grouping and duplicate detection to reduce noise
- Detailed stack traces, breadcrumbs, and code snapshots for root cause analysis
- Deployment tracking to correlate errors with specific code releases
- Hotspot dashboard flagging high-risk files and error-prone code areas
- Lightweight APM tracking HTTP request rates, response times, and user satisfaction
- Agentless, serverless SDK-based architecture with near-zero performance overhead
- Support for 20+ programming languages and frameworks with open-source notifiers
- SOC 2 Type II certified with TLS encryption and SSO via Okta/OneLogin
- Usage-based pricing with configurable usage caps to prevent bill surprises



### Target users

- Software developers (back-end and full-stack)
- Front-end and JavaScript engineers
- DevOps and site reliability engineers
- QA and testing teams
- Engineering managers and VPs of Engineering
- Open-source project maintainers



### Key use cases

- Production error monitoring for full-stack web applications
- Deployment quality assurance and bad-deploy detection
- Performance bottleneck identification across HTTP endpoints
- Error triage and prioritization for engineering teams
- Application health monitoring for desktop and mobile apps
- Continuous monitoring across test, staging, and production environments
- Open-source project error visibility with sponsored plan support

Integrations ecosystem: Airbrake supports integrations with GitHub, GitLab, and Bitbucket for source control; Jira, Pivotal Tracker, and Trello for issue management; Slack for real-time alerting; Okta and OneLogin for SSO; LogRocket for session replay correlation; Zapier for workflow automation; and generic Webhooks for custom destinations. On the language/framework side, official open-source SDK notifiers span Ruby, Rails, Sinatra, Python, Django, Flask, JavaScript, Node.js, React, Angular, Ember, Express, PHP, Java, .NET, Go, iOS, and Android, with community-supported notifiers and a direct API for additional runtimes.
Pricing summary: Airbrake uses usage-based pricing with five monthly tiers: Dev (free, limited quota); Tier 1 / Basic at $19/month (25,000 errors); Tier 2 / Essential at $59/month (100,000 errors); Tier 3 / Startup at $129/month (300,000 errors); Tier 4 / Growth at $299/month (1M errors); and Tier 5 / Business at $799/month (5M errors). A 10% discount applies to annual billing. Error Monitoring and Performance Monitoring are metered and billed separately. On-demand overages are charged per error or event beyond quota. A Pro plan adds audit logs, spike forgiveness, and unlimited teams. Usage caps can be set per project to prevent unexpected overage charges.
Review summary: Users consistently praise Airbrake for its frictionless setup, broad framework compatibility (especially Ruby on Rails), and reliable real-time alerting. Reviewers highlight the value of intelligent error grouping and deployment tracking for reducing debugging time. Critical feedback centers on a UI that can be unintuitive for new users, a feature set perceived as lighter than newer rivals, and limited integration depth. The platform earns 4.4/5 on G2 (73 reviews) and 4.7/5 on Capterra (30 reviews), with TrustRadius also recognizing it as Top Rated in Debugging.
Competitive positioning: Airbrake is one of the original developer-focused error tracking services (est. 2008), competing on simplicity, fast setup (minutes), and a lightweight agentless SDK model. Now operating as a LogicMonitor subsidiary, it positions itself below enterprise-heavy observability platforms by offering usage-based pricing accessible to individual developers and small teams, while its broad language support (20+ frameworks) and deployment-tracking differentiator give it relevance with mid-market DevOps teams. Compared to Sentry and Rollbar—its most direct rivals—Airbrake is generally perceived as easier to integrate but lighter on advanced features such as session replay, distributed tracing, and AI-assisted triage.
Limitations: Reviewers note the UI can be unintuitive for beginners and that Airbrake is comparatively light on advanced features versus newer competitors such as Sentry (which offers distributed tracing, session replay, and AI-assisted workflows). The integration catalog is narrower than some rivals. Pricing tiers offer limited granularity at the low end, with some users requesting more affordable small-team options. The platform lacks built-in session replay or log aggregation, requiring complementary tools for full observability.


### Source urls

- https://airbrake.io/
- https://airbrake.io/pricing
- https://airbrake.io/integrations
- https://www.airbrake.io/about-us
- https://www.g2.com/products/airbrake/reviews
- https://www.capterra.com/p/160492/Airbrake/
- https://www.logicmonitor.com/press/logicmonitor-acquires-airbrake
- https://www.globenewswire.com/news-release/2021/02/23/2180567/0/en/LogicMonitor-Acquires-Airbrake-to-Accelerate-Performance-Monitoring-and-Unified-Observability-Roadmap.html
- https://tracxn.com/d/companies/airbrake/__NeYN-J1chWQA1bu-PNKgi0QtoeYLqVTIpPmYoQ71xDc
- https://github.com/airbrake
- https://siliconangle.com/2021/02/23/logicmonitor-acquires-airbrake-extend-app-monitoring-platform-developer-environments/

Reviewed at: 2026-04-28T23:13:27.194+00:00


### Customer outcomes





### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.4 | 5 | 73 | https://www.g2.com/products/airbrake/reviews |
| Capterra | 4.7 | 5 | 30 | https://www.capterra.com/p/160492/Airbrake/ |



### Review themes



#### Praised

- Fast, frictionless setup (installs in minutes)
- Excellent Ruby on Rails and multi-framework integration
- Real-time error alerts via email and Slack
- Intelligent error grouping reduces notification noise
- Useful deployment tracking for correlating bugs with releases
- Easy-to-navigate stack traces
- Reliable uptime and long track record



#### Criticized

- UI not intuitive for beginners
- Lighter feature set compared to newer competitors
- Limited lower-tier pricing granularity
- Narrower integration catalog than some rivals
- Needs complementary tools for full observability (logs, session replay)




### Company facts

Founded year: 2008
Hq: Austin, TX, USA


#### Founders



Employees range: Not available
Total funding: $11M
Valuation: Not available
Arr: Not available
Customer count: 1,600+ organizations
Status: Acquired by LogicMonitor (Feb 2021)


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| Sentry | 86 | 150 | 57.333333333333336 | 19.59778597785978 |
| Bugsnag | 60 | 150 | 40 | 26.64457831325301 |
| Rollbar | 51 | 150 | 34 | 28.966442953020135 |
| Raygun | 18 | 150 | 12 | 33.36 |
| LogRocket | 16 | 150 | 10.666666666666668 | 25.818181818181817 |
| TrackJS | 16 | 150 | 10.666666666666668 | 30.545454545454547 |
| Highlight.io | 5 | 150 | 3.3333333333333335 | 44 |
| Airbrake | 4 | 150 | 2.666666666666667 | 20.714285714285715 |
| Embrace | 3 | 150 | 2 | 13 |
| Jam.dev | 0 | 150 | 0 | Not available |
| Luciq | 0 | 150 | 0 | Not available |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| chatgpt-search | 2 | 8 |
| google-ai | 0 | 0 |
| perplexity | 0 | 0 |
| google-ai-mode | 0 | 0 |
| bing-copilot-search | 0 | 0 |
| xai-search | 2 | 8 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| Which error tracking SDKs have the lowest page load overhead and offer async or lazy-loading options to minimise impact? | 1 | 6 |



## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| Which error tracking platforms handle error grouping best for flaky or non-deterministic errors with slightly different stack traces each time? | 5 |
| What are the best error tracking tools for a Next.js app that handles both server-side and client-side rendering without doubling up on error events? | 5 |
| Which error tracking platforms can correlate a frontend JS error with the backend API call that caused it across a distributed trace? | 4 |
| What's the easiest error tracking and crash reporting platform to integrate into a React Native app for both iOS and Android from a single SDK? | 4 |
| Which error tracking platforms offer the best webhook and event streaming support for building internal tooling on top of error data? | 4 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 1 |
| Developer Experience | 5 | 2 |
| Integrations & Ecosystem | 5 | 0 |
| Performance & Reliability | 5 | 1 |
| Setup & First Run | 5 | 0 |



## Prompt results

- Prompt text: Which error tracking platforms integrate natively with observability stacks — metrics, tracing, and logs — so you don't need two separate dashboards?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Google-ai-mode





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Embrace | 15 |
| Sentry | 16 |
| Raygun | 21 |
| Bugsnag | 27 |
| TrackJS | 29 |
| Rollbar | 30 |


- Prompt text: Which error tracking platforms have the best two-way sync with issue trackers so bugs automatically get created and closed in the right project board?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 4 |
| Rollbar | 6 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Bugsnag | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 4 |
| Rollbar | 6 |



##### Google-ai-mode





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Bugsnag | 6 |
| Sentry | 9 |
| Rollbar | 58 |


- Prompt text: Which error tracking platforms can correlate a frontend JS error with the backend API call that caused it across a distributed trace?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 7 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 3 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 24 |
| Rollbar | 47 |


- Prompt text: Which error tracking tools integrate best with on-call and incident management systems to page the right person when a critical error spikes?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 4 |



##### Google-ai-mode





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Bugsnag | 30 |
| Sentry | 33 |
| Rollbar | 45 |


- Prompt text: Which error tracking platforms are designed for microservices architectures where errors in one service can cascade into others?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 7 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Google-ai-mode





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 35 |


- Prompt text: What's the easiest error tracking and crash reporting platform to integrate into a React Native app for both iOS and Android from a single SDK?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 5 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Embrace | 2 |
| Sentry | 5 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 3 |
| Embrace | 12 |
| Bugsnag | 19 |
| Raygun | 33 |
| LogRocket | 61 |


- Prompt text: What error tracking tools do teams typically use to manage the full workflow from alert to assignment to resolution in one place?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Rollbar | 1 |
| Bugsnag | 3 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 3 |
| Rollbar | 6 |



##### Google-ai-mode





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Raygun | 21 |
| Sentry | 29 |
| TrackJS | 43 |
| Bugsnag | 46 |
| Rollbar | 48 |


- Prompt text: Which error tracking platforms integrate best into a developer's normal workflow — IDE plugins, chat notifications, or built-in triage dashboards?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 3 |
| Rollbar | 5 |
| Bugsnag | 8 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 3 |
| Rollbar | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| LogRocket | 2 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 5 |
| Raygun | 10 |
| LogRocket | 28 |
| Rollbar | 35 |


- Prompt text: Which error tracking platforms offer the best webhook and event streaming support for building internal tooling on top of error data?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Rollbar | 2 |
| Bugsnag | 6 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Raygun | 11 |
| Sentry | 13 |
| LogRocket | 22 |
| Bugsnag | 50 |
| Rollbar | 60 |


- Prompt text: What event volume limits should I expect from error tracking platforms at scale — and which ones have the most predictable pricing as volume grows?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Rollbar | 1 |
| Bugsnag | 10 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Rollbar | 1 |
| Bugsnag | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| TrackJS | 3 |
| Sentry | 5 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| TrackJS | 23 |
| Bugsnag | 37 |
| Rollbar | 56 |


- Prompt text: I'm migrating error tracking to a new platform — which tools make it easiest to preserve historical data and recreate alert rules?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Rollbar | 4 |
| Bugsnag | 9 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Google-ai-mode





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| TrackJS | 14 |
| Rollbar | 17 |
| Raygun | 27 |
| LogRocket | 37 |


- Prompt text: Which error tracking platforms offer the best release tracking so teams can tell whether a new deploy made error rates better or worse?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: 26



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 4 |
| Rollbar | 7 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 2 |
| Bugsnag | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 3 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Raygun | 3 |
| Rollbar | 10 |
| Sentry | 12 |
| TrackJS | 17 |
| Airbrake | 26 |
| Bugsnag | 44 |


- Prompt text: Which error tracking platforms handle error storms gracefully when a bad deploy suddenly generates millions of events per minute?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 2 |
| Rollbar | 6 |
| Bugsnag | 8 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 2 |
| Rollbar | 5 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Raygun | 5 |
| Bugsnag | 6 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 11 |
| Rollbar | 19 |
| TrackJS | 21 |
| Raygun | 28 |
| LogRocket | 32 |


- Prompt text: What tools help teams correlate error tracking data with feature flag releases to automatically flag which deployment introduced a regression?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Rollbar | 8 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 16 |
| Bugsnag | 37 |


- Prompt text: Which platforms offer both error tracking and full session replay in one tool — and when does a team actually need both together?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| LogRocket | 3 |
| Sentry | 12 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| LogRocket | 3 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 3 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Rollbar | 3 |
| Sentry | 6 |
| Highlight.io | 9 |
| LogRocket | 19 |


- Prompt text: Which error tracking platforms offer the best sampling rate controls to manage cost and noise in production without missing critical low-frequency errors?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Rollbar | 7 |
| Bugsnag | 9 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 3 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| TrackJS | 4 |
| Bugsnag | 5 |
| Sentry | 11 |
| Raygun | 16 |
| LogRocket | 18 |
| Rollbar | 38 |


- Prompt text: Which error tracking platforms handle error grouping best for flaky or non-deterministic errors with slightly different stack traces each time?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Rollbar | 3 |
| Bugsnag | 6 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Bugsnag | 2 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 2 |
| Rollbar | 4 |
| Bugsnag | 7 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Rollbar | 1 |
| Sentry | 2 |
| Bugsnag | 4 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 2 |
| Rollbar | 4 |
| TrackJS | 16 |
| Raygun | 23 |
| LogRocket | 36 |


- Prompt text: Which error tracking SDKs have the lowest page load overhead and offer async or lazy-loading options to minimise impact?


#### Brand position by platform

Chatgpt-search: 6
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Rollbar | 1 |
| Airbrake | 6 |
| Bugsnag | 8 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 2 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| TrackJS | 19 |
| Sentry | 27 |
| Raygun | 34 |
| Bugsnag | 51 |
| Rollbar | 78 |


- Prompt text: Which error tracking platforms automatically capture the most useful context — breadcrumbs, user state, request data — so engineers can reproduce bugs without user help?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Bugsnag | 1 |
| Rollbar | 3 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 3 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 4 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| TrackJS | 1 |
| Raygun | 10 |
| Sentry | 13 |
| Bugsnag | 24 |
| Rollbar | 58 |
| Highlight.io | 65 |


- Prompt text: Which error tracking platforms handle background job errors as well as request-response errors from a web server?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: 79



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Bugsnag | 1 |
| Rollbar | 4 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 2 |
| Rollbar | 3 |



##### Google-ai-mode





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Raygun | 5 |
| LogRocket | 13 |
| Rollbar | 36 |
| TrackJS | 37 |
| Bugsnag | 69 |
| Airbrake | 79 |


- Prompt text: Which error tracking tools handle deduplication and grouping best to reduce alert fatigue when a single bug triggers thousands of duplicate events?


#### Brand position by platform

Chatgpt-search: 8
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Rollbar | 3 |
| Bugsnag | 5 |
| Airbrake | 8 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Rollbar | 4 |
| Bugsnag | 6 |



##### Google-ai-mode





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| TrackJS | 16 |
| Rollbar | 24 |
| Raygun | 27 |
| Sentry | 33 |
| LogRocket | 70 |


- Prompt text: What are the best error tracking tools for a Next.js app that handles both server-side and client-side rendering without doubling up on error events?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 3 |
| Rollbar | 4 |
| Highlight.io | 5 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Sentry | 2 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 2 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 3 |
| Rollbar | 9 |
| Highlight.io | 13 |
| LogRocket | 18 |
| TrackJS | 35 |


- Prompt text: Which error tracking tools offer the best PII scrubbing and GDPR compliance features for stripping sensitive fields from payloads before they leave the browser?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Bugsnag | 3 |
| Rollbar | 5 |
| Highlight.io | 9 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Raygun | 3 |
| Bugsnag | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 3 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 8 |
| TrackJS | 32 |
| Raygun | 43 |
| Rollbar | 55 |
| Bugsnag | 65 |


- Prompt text: Which error tracking platforms handle source map uploads well so you see original TypeScript line numbers instead of minified bundle references?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Bugsnag | 1 |
| Rollbar | 3 |
| Sentry | 7 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 3 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 26 |
| Rollbar | 27 |
| LogRocket | 54 |
| TrackJS | 69 |


- Prompt text: Which error tracking platforms buffer events locally during outages and replay them when connectivity is restored, rather than dropping events?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 3 |
| Bugsnag | 4 |
| Rollbar | 6 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Rollbar | 3 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| LogRocket | 4 |
| Raygun | 8 |
| Rollbar | 31 |
| Bugsnag | 35 |





## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://docs.airbrake.io/docs/features/error-grouping/ | Error grouping | docs.airbrake.io | Not available | commercial | documentation | 1 | 1 |
| https://docs.airbrake.io/docs/faq/configuring-error-grouping-settings/ | Configuring error grouping settings | docs.airbrake.io | Not available | commercial | documentation | 1 | 1 |
| https://docs.airbrake.io/docs/faq/error-reduction-in-very-large-groups/ | Error reduction in very large groups | docs.airbrake.io | Not available | commercial | documentation | 1 | 1 |
| https://www.airbrake.io/languages/javascript | JavaScript | airbrake.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/36b1910b-2bb7-424d-be2f-ab824992ea50/0eeac5f3fad02e0094dd306fa75f3528c6eb7817.png | commercial | documentation | 1 | 1 |
| https://docs.airbrake.io/docs/overview/error_monitoring/ | Error Monitoring | docs.airbrake.io | Not available | commercial | documentation | 1 | 1 |
| https://docs.airbrake.io/docs/overview/apm/ | Performance Monitoring | docs.airbrake.io | Not available | commercial | docs | 1 | 0 |
| https://www.airbrake.io/deployment-tracking | Deployment Tracking | airbrake.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/36b1910b-2bb7-424d-be2f-ab824992ea50/0eeac5f3fad02e0094dd306fa75f3528c6eb7817.png | commercial | home | 1 | 0 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| Which error tracking platforms have the best two-way sync with issue trackers so bugs automatically get created and closed in the right project board? | bing-copilot-search | ...— errors linked to deployments, closing in tracker reflects in Datadog\| Teams already using Datadog for observability Airbrake\| Jira, GitHub, Trello\| Good — auto-create issues, sync status back\| SMBs needing lightweight error-to-issue sync Ra... |
| Which error tracking platforms handle background job errors as well as request-response errors from a web server? | bing-copilot-search | ...the right observability fit \| Dev Toolkit](https://tools.aileapers.com/articles/best-error-monitoring-tools-2026.html) Airbrake\| Straightforward error \+ performance monitoring\| Supports background workers\| Web app error monitoring with deploy tra... |
| What error tracking tools do teams typically use to manage the full workflow from alert to assignment to resolution in one place? | bing-copilot-search | Airbrake\| Lightweight, API-driven error tracking with release-aware triage.\| Alerts → Issue creation → Assignment → Resolution tracking. |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| chatgpt-search | Sentry | ## Best error tracking platforms for this use case ## 1. Sentry Best overall for variable stack traces Sentry is my first choice when stack traces differ slightly but the underlying failure may be the same. |
| chatgpt-search | Rollbar | Docs: Issue grouping · Enhanced grouping ## 2. Rollbar Best for automatic grouping with custom rules Rollbar uses automation-grade grouping, including machine-learning components, and supports custom fingerprinting rules and manual merging. |
| google-ai | Bugsnag | Bugsnag (Best for Configurable Grouping Strategies) Bugsnag offers explicit control over _how_ errors are aggregated via selectable grouping algorithms in project settings. |
| perplexity | Sentry | For errors whose stack traces vary slightly, Sentry and Rollbar are the strongest fits to evaluate first—but they solve the problem differently. |
| google-ai-mode | Rollbar | rollbar.com/docs/error-grouping-best-practices)Issue Grouping: Smarter, Faster, Half as Wrong \| Sentry BlogIssue Grouping[BugSnag docs... |
| google-ai-mode | Sentry | ...st Practices](https://docs.rollbar.com/docs/error-grouping-best-practices)Issue Grouping: Smarter, Faster, Half as Wrong \| Sentry Blog[Issue Grouping](https://docs.sentry.io/concepts/data-management/eve... |
| chatgpt-search | Sentry | ## Best error tracking tools for Next.js ## 1. Sentry Best overall Sentry has an official Next.js SDK that covers browser, Node.js server, and Edge runtimes, with support for React Server Components, server actions, hydration errors, and performance tracing. |
| chatgpt-search | Bugsnag | Next.js setup and features ## 2. BugSnag A strong alternative if your main priority is application stability and actionable error reports. |
| google-ai | Sentry | Sentry ( `@sentry/nextjs` ) — _Best Overall & Industry Standard_ Sentry is widely considered the gold standard for full-stack Next.js error tracking. |
| perplexity | Sentry | For a Next.js app that renders on both the server and client, Sentry is the strongest default choice: its Next.js SDK is designed to instrument the browser, Node.js server, and Edge runtimes, and it captures many unhandled errors automatically. |
| google-ai-mode | Sentry | Sentry is the industry standard and best error tracking tool for Next.js applications, providing unified, full-stack error tracking across both client-side rendering (CSR) and server-side rendering (SSR) without duplicating events. |
| google-ai | Sentry | Sentry \+ 1 The primary platforms capable of this correlation include: ### 1\. |



## Trend

Visibility delta: 1.6
Avg position delta: Not available
Citation count delta: 5